Hybrid data mining-regression for infrastructure risk assessment based on zero-inflated data

Reliability Engineering and System Safety

Volumn 99, Issue , 2012, Pages 178-182

  Guikema, S D ^a   Quiring, S M ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Classification tree; Regression; Risk assessment; Zero inflated

Indexed keywords

CLASSIFICATION TREES; COMPLEX DATA; DATA SETS; DATA-DRIVEN ANALYSIS; HYBRID CLASSIFICATION; INFRASTRUCTURE SYSTEMS; NEGATIVE BINOMIAL REGRESSION MODEL; PERFORMANCE DATA; POWER OUTAGE; PREDICTIVE ACCURACY; REGRESSION; SIMULATED DATASETS; STATISTICAL MODELS; THRESHOLD EFFECT; ZERO-INFLATED;

CLASSIFICATION (OF INFORMATION); FORESTRY; OUTAGES; PROBABILITY DISTRIBUTIONS; RATING; REGRESSION ANALYSIS; RISK PERCEPTION; TREES (MATHEMATICS);

RISK ASSESSMENT;

CLASSIFICATION; DATA PROCESSING; MATHEMATICAL MODELS; PROBABILITY; RATING; REGRESSION ANALYSIS; RISK ASSESSMENT; SIMULATION;

EID: 84455167511     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2011.10.012     Document Type: Article

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